Keynotes

Bernhard Schölkopf is the Director of the Max Planck Institute for Intelligent Systems, Tübingen, Germany, where he heads the Department of Empirical Inference. His scientific interests include machine learning and causal inference. He has applied his methods to a number of different fields, ranging from biomedical problems to computational photography and astronomy. He was with AT&T Bell Labs, GMD FIRST, Berlin, and Microsoft Research Cambridge, U.K., before becoming the Max Planck Director in 2001. He is a member of the German Academy of Sciences, Leopoldina. He received the Royal Society Milner Award and the Leibniz Prize. He is an Amazon Distinguished Scholar. He co-founded the series of Machine Learning Summer Schools. He serves as a Co-Editor-in-Chief for the Journal of Machine Learning Research, an early development in open access and today the field’s flagship journal.


Julia Schnabel joined King's College London in July 2015 as Chair of Computational Imaging at the School of Biomedical Engineering and Imaging Sciences, where she is Director of the EPSRC Centre for Doctoral Training in Medical Imaging, jointly run by King’s College London and Imperial College London - visit www.imagingcdt.com for more details on PhD opportunities. She is School Head for Research & Impact, and Co-Director of the NIHR funded Medtech and In vitro diagnostic Co-operative (MIC) in Cardiovascular Diseases.

Julia is elected member of the MICCAI Society Board (2017-21) and the IEEE EMBS Adminstrative Committee (2017-19). She is also a member of the Inria Science Board (2017-19) and the EPSRC Strategic Advisory Team (SAT) in Healthcare Technology (2018-21). In 2018 Julia was elected MICCAI Fellow "For contributions to multiple areas of medical image computing, and for distinguished service to the MICCAI conference and Society".


Dino Sejdinovic is an Associate Professor at the Department of Statistics, University of Oxford, a Fellow of Mansfield College, Oxford, and a Turing Fellow of the Alan Turing Institute. He previously held postdoctoral positions at the Gatsby Computational Neuroscience Unit, University College London (2011-2014) and at the Institute for Statistical Science, University of Bristol (2009-2011) and worked as a data science consultant in the financial services industry. He received a PhD in Electrical and Electronic Engineering from the University of Bristol (2009) and a Diplom in Mathematics and Theoretical Computer Science from the University of Sarajevo (2006).



Christoph H. Lampert received the PhD degree in mathematics from the University of Bonn in 2003. In 2010 he joined the Institute of Science and Technology Austria (IST Austria) first as an Assistant Professor and since 2015 as a Professor. His research on computer vision and machine learning has won several international and national awards, including the best paper prize at CVPR 2008. In 2012 he was awarded an ERC Starting Grant by the European Research Council. He currently is an Editor of the International Journal of Computer Vision (IJCV), Action Editor of the Journal for Machine Learning Research (JMLR), and Associate Editor in Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).



Xiaoxiang Zhu focuses on signal processing and data science in earth observation. Geoinformation derived from Earth observation satellite data is indispensable for many scientific, governmental and planning tasks. Furthermore, Earth observation has arrived in the Big Data era with ESA's Sentinel satellites and NewSpace companies. She develops explorative signal processing and machine learning algorithms, such as compressive sensing and deep learning, to improve information retrieval from remote sensing data, and to enable breakthroughs in geoscientific and environmental research. In particular, by the fusion of petabytes of EO data from satellite to social media, she aims at tackling challenges such as mapping of global urbanization.

Professor Zhu studied aerospace engineering in China and at TUM, where she also received her doctorate (2011) and postdoctoral teaching qualification (habilitation) in 2013. She leads a Helmholtz junior university research group at the German Aerospace Center (DLR) and TUM since 2013, and held visiting scholar positions in Italy, China, Japan and the US. In 2015, Professor Zhu was appointed as a professor at TUM and has since 2018 also headed the EO Data Science department at DLR.